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Cronbach Alpha’s reliability Í@Sf - ôse Hệ, 12
Cronbach's Alpha is a test to analyze the reliability of the scale Cronbach's Alpha coefficient has a variable value in the interval [0,1] In theory, the higher this coefficient, the better (the more reliable the scale is) However this is not entirely correct Cronbach's Alpha coefficient is too large (about 0.95 or more) showing that there are many variables in the scale that do not differ from each other, this phenomenon is called overlap in the scale
Cronbach's Alpha coefficient value level (Source: Hoang Trong, Chu Nguyen Mong Ngoc (2008), Analysis of research data with SPSS Volume 2, Hong Duc Publishing House, page 24):
From 0.8 to close to 1: the scale is very good
From 0.7 to close to 0.8: good usable scale
From 0.6 and up: qualifying scale
The well-regarded scale has a Cronbach's Alpha coefficient 0.8 and a Cronbach's Alpha coefficient between 0.7 and 0.8 represents a usable scale for research However, Cronbach's Alpha coefficients do not indicate which variable will be retained or eliminated The value of the contribution depends on the Corrected item with Total correlation, this coefficient needs to be 0.3 to meet the requirements
A descriptive statistic (in the count noun sense) is a summary statistic that quantitatively describes or summarizes features from a collection of information (Mann, Prem S (1995)) while descriptive statistics (in the mass noun sense) is the process of using and analyzing those statistics Descriptive statistics is distinguished from inferential statistics (or inductive statistics) by its atm to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent This generally means that descriptive statistics, unlike inferential statistics, is not developed on the basis of probability theory, and are frequently nonparametric statistics (Dodge, Y (2003))
Descriptive statistics summarize data from a sample, providing an overview of its characteristics In contrast, inferential statistics make assumptions about larger populations outside the study, generalizing from the sample to estimate population parameters While inferential statistics draw main conclusions, descriptive statistics are often included to provide context and a summary of the data actually observed.
Descriptive statistics refers to a discipline that quantitatively describes the important characteristics of a data set For the purposes of describing the properties, it uses measures of central tendency, ie mean, median, mode, and dispersion measures i.e range, standard deviation, standard deviation and variance, etc Data is summarized by the researcher, in a useful way, with the help of numerical and graphical tools such as charts, tables and graphs, to represent the data accurately Furthermore, the presented text supports the diagrams, to explain what they represent
The survey's age distribution aligns with its intended focus on young individuals aged 16-25 Among 303 respondents, the majority (79.21%) fell within this age range, followed by age group 25-30 (10.56%) Conversely, age groups over 30 and under 16 comprised a small proportion of respondents (2.97% and 7.26%, respectively) This distribution indicates that the survey effectively targeted the desired demographic.
With 303 respondents, there is not much difference between male and female gender Females accounted for a slightly higher proportion of 50.5% and males accounted for 49.5%
= California m= Canada = Da Nang mHaNoi Hue 2
= Ho Chi Minh City Hue m Lao Cai mMelbourne Lao Cai 1
= Nha Trang m Singapore = Tay Ninh = Washington
Melbourne 1 Nha Trang 1 Singapore 1 Tay Ninh 2 Washington 2
The majority of respondents in the survey were in Ho Chi Minh City, accounting for 255/303 respondents However, to increase the accuracy of the survey, the team also surveyed many people in many different provinces, both domestically and abroad Hanoi and Da Nang are the two provinces with the highest number of survey participants after
Ho Chi Minh City with 22,14 respectively Other provinces such as Hue, Lao Cai, Nha Trang, Tay Ninh only had 1-2 respondents to the survey Up to 6 survey participants are abroad such as Canada, California, Melbourne, Singapore, Washington This result shows that the survey covers a fairly large audience both at home and abroad, serving effectively for problem research
=3-S millions =5-8millions =Under3millions = Over 10 millions
Income | Under 3 millions 3-5 millions | 5-8 millions | Over 10 millions
Percent Survey subjects are mainly young people, so incomes under 3 million and from 44,88% 30,03% 13,86% 11,22%
3-5 million account for a relatively high proportion in the survey Income under 3 million accounts for 136/303 respondents, accounting for 44.88% Next is 91/303 respondents with income from 3-5 million, accounting for 30.3% A relatively low percentage in the survey is the number of people with incomes greater than 5 million; Specifically, there are 13.86% of survey respondents with income from 5-8 million, 34/303 accounting for 11.22% of survey respondents with income over 10 million From the research, it shows that the subjects to be studied are people with not too high income, 3-5 million is the majority From the survey, we can see that it is necessary to develop a pricing strategy for the organic cotton T-shirt brand to match the income of the target customer
The survey garnered responses from 303 individuals, of whom a substantial 250 (82.51%) expressed interest in organic cotton T-shirts These respondents became the focus of the study, providing insights into the factors influencing their purchase decisions In contrast, 53 respondents (17.49%) indicated no interest in organic cotton T-shirts and were excluded from further analysis.
How many T-shirts do you buy every year (on average)?
0.0% m1-2T-shirts M2-4T-shils 5-6 T-shits Over 6 T-shirts
Frequency (T-shirts/1 year) 1-2 T-shirts | 3-4 T-shirts | 5-6 T-shirts | Over 6 T-shirts
To assess how often they use organic cotton t-shirts, the team conducted a survey on how many T-shirts their target customers bought on average each year The results received from the survey accounted for the highest percentage of 40.8% of 102/250 people interested in organic cotton T-shirts that buy 3-4 T-shirts per year on average The average number of purchases of 5-6 T-shirts per year is also quite high 23.6%, equivalent to 59/250 people; close to 20.8% of people think that the average is to buy more than 6-Tshirts per year The proportion of buyers of 1-2 T-shirts accounted for a relatively low proportion of only 14.8% This shows that the organic cotton T-shirts
17 market is quite potential On average, most consumers will buy 3 T-shirts or more per year
How long is your T-shirt in use (on average)?
= on mi-2years m2-3years mUnder1 years m Over 3 years 10.0%
(Year/ 1 T-shirt) Under 1 years | 1-2 years | 2-3 years | Over 3 years
After studying the average number of t-shirts consumers buy each year, the team continued to work on the problem, studying how long each t-shirt consumers typically wear The result that the group received the most was 1-2 years, accounting for 44.0%, corresponding to 110/250 respondents The answer that the group also received quite a lot was 2-3 years, accounting for 33.6% Less than 3 years with 13.6% and at least less than 1 year with 22/250 respondents, accounting for 8.8% From that result, it shows that the majority of consumers think that a t-shirt is usually used for 1-3 years, showing that consumers evaluate the use of T-shirts for durability and long-term use Therefore, businesses need to come up with ways of production to suit the wishes of consumers, as well as ways of marketing so that consumers are assured that the company's products meet their wishes
Who do you usually buy T-shirts with?
Who do you usually buy T-shirts with?
N Percent Percentage of selections per sample size
From the result of the survey, we have 118 choices for those who typically buy T-shirts with their family members (representing 47.2%), 157 choices for those who usually buy T-shirts with friends (62.8%), and “alone” (169 choices, accounting for 67.6%) as the most popular answer
The aforementioned data clearly demonstrates that respondents prefer to purchase their T-shirts alone before doing so with friends and family Furthermore, with just 82 choices, representing 32.8% of the total votes, the response "purchase T-shirts with their lovers,” earned the least support
According to the figures above, consumers today don't frequently purchase T- shirts with their lovers T-shirt shops should now host more events or promotions aimed at encouraging couples to make purchases in order to enhance this metric
When do you usually wear a T-shirt?
WHEN DO YOU USUALLY WEAR A T-SHIRT?
N Percent | Percentage of selections per sample size
Recommendations 8n
According to results which were collected from the research and contemporary lifestyle of people nowadays, it is quite probable that young people are concentrating on
41 their appearance more than in the past Therefore, we want to introduce several recommendations for this problem: ¢ PRXTECT should sell other kinds of clothes such as skirts, trousers, jeans, along with organic cotton T-shirts Therefore, customers will have more choices besides T-shirts and they do not need to go to other shops This will maximize PRXTECT’s revenue e People should buy clothes which are friendly to the environment because this will decrease the level of pollution in the world e Businesses in fashion field should be aware that it is really necessary for ethical production process
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